Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10251944" target="_blank" >RIV/61989100:27740/21:10251944 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-78307-5_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-78307-5_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-78307-5_8" target="_blank" >10.1007/978-3-030-78307-5_8</a>
Alternative languages
Result language
angličtina
Original language name
Leveraging High-Performance Computing and Cloud Computing with Unified Big-Data Workflows: The LEXIS Project
Original language description
Traditional usage models of Supercomputing centres have been extended by High-Throughput Computing (HTC), High-Performance Data Analytics (HPDA) and Cloud Computing. The complexity of current compute platforms calls for solutions to simplify usage and conveniently orchestrate computing tasks. These enable also non-expert users to efficiently execute Big Data workflows. In this context, the LEXIS project ('Large-scale EXecution for Industry and Society', H2020 GA 825532, https://lexis-project.eu) sets up an orchestration platform for compute- and data-intensive workflows. Its main objective is to implement a front-end and interfaces/APIs for distributed data management and workflow orchestration. The platform uses an open-source Identity and Access Management solution and a custom billing system. The data management API allows data ingestion and staging between various infrastructures. The orchestration API allows execution of workflows specified in extended TOSCA. LEXIS uses innovative technologies like YORC and Alien4Cloud for orchestration or iRODS/EUDAT-B2SAFE for data management, accelerated by Burst Buffers. Three pilot use cases from Aeronautics Engineering, Earthquake/Tsunami Analysis, and Weather and Climate Prediction are used to test the services. On the road towards longer-term sustainability, we are expanding this user base and aiming at the immersion of more Supercomputing centres within the platform.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Technologies and Applications for Big Data Value
ISBN
978-3-030-78306-8
Number of pages of the result
21
Pages from-to
159-180
Number of pages of the book
544
Publisher name
Springer
Place of publication
Cham
UT code for WoS chapter
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